Actuarial Modelling Engineer

Actuarial Modelling Engineer

Job Title: Analytics Platform Engineer
Location: London (5 days per week in office)
Salary: Competitive

Overview
A global specialty insurance and reinsurance organisation is seeking an Analytics Platform Engineer to join a technical actuarial analytics development team. The team builds and maintains a bespoke modelling and analytics platform used to support pricing, loss modelling, and portfolio management across the business.

This role is suited to someone with strong technical and mathematical skills who enjoys building tools, working with large datasets, and collaborating with actuarial and risk teams to deliver practical analytical solutions.

The Role

Reporting to a Senior Engineer, you will contribute to the design, implementation, and maintenance of software and processes that support a proprietary modelling platform. You will work closely with actuarial, exposure management, and project teams to translate requirements into reliable, maintainable systems and data pipelines.

Key Responsibilities

• Contribute to the development of a proprietary modelling and analytics platform, particularly the Back End calculation components

• Design and develop tools, reusable data pipelines, and datasets used in reporting and analysis

• Work with actuarial, risk, and business teams to understand requirements and deliver effective solutions

• Maintain and improve existing and Legacy codebases

• Track development progress and maintain clear documentation

• Implement testing and controls to reduce operational risk

• Support the wider team with technical and analytical tasks as required

• Build domain knowledge in insurance, reinsurance, and modelling

• Stay current with modern engineering tools and practices

Skills and Experience

• Degree in Software Engineering, Mathematics, Physics, or a related quantitative discipline

• Around 3+ years' experience in insurance, reinsurance, or another data-intensive environment

• Experience working with SQL and large datasets (Microsoft SQL Server, Azure or similar preferred)

• Experience working with version control in a team environment (Git preferred)

• Exposure to parallelised or distributed computing environments

• Experience implementing mathematical or statistical methods in production systems

• Experience with Julia, Python, R, or similar languages

• Familiarity with actuarial or risk concepts is beneficial

• Ability to work in a collaborative, fast-paced environment

Working Environment

• Collaborative team working on complex modelling and analytics systems

• Opportunity to work closely with actuarial and risk specialists

• Exposure to high-impact analytical platforms used across the business